This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Vehicular traffic flow simulator in road network, written in pure Python

The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network.

Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data

This repository contains software for multi-agent simulation model of mixed traffic flow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis.

Using reinforcement learning and genetic algorithms to improve traffic flow and reduce vehicle waiting times in a single-lane two-way junction simulator by coordinating traffic signal schedules.

This repository contains software for multi-agent simulation model of mixed traffic flow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis. Cu…

MCM 2017

Implementation of a multi-agent system for the modeling of carpooling in a city with one-way streets. Used Python and the Mesa package for multi-agent modeling.

Traffic Flow Prediction using LSTM and GRU implemented using Noisy Activation Functions

sharing traffic data for our research direction, there have traffic speed, flow, incident, etc,.

Connected & Automated Vehicles (CAV) Traffic Simulator created using Python and ChatGPT.

My academic project :- optimization of green signal timings of traffic light controllers using firefly algorithm

Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)

interactive demonstration of fundamentals of traffic flow and simulation on the web

Repository for degree project: "Machine Learning-Based Data-Driven Traffic Flow Estimation from Mobile Data". Conducted at Research Institutes of Sweden (RISE).

Computational Transportation Science (CTS) resources for everyone!

Simulation for superblocks urbanism model.

Optimizing traffic signals based on Cell Transmission Model

This project provides an integrated environment with tools to study traffic flow in Teatinos, Málaga. It automatically collects, refines, and stores traffic information for effective historical analysis. Additionally, it uses an Agent-Based Model (ABM) to simulate traffic behavior.